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Crowd textures as proximity graphs

Claudio Martella, Maarten Steen, Aart Halteren, Claudine Conrado, Jie Li
2014 IEEE Communications Magazine  
The crowd texture is represented through the proximity graph, a data-structure that captures the spatial closeness relationship between individuals over time.  ...  A fundamental element of our approach is to consider crowds in terms of their texture.  ...  We then introduce the proximity graph as a representation of crowd textures, along with analytic examples.  ... 
doi:10.1109/mcom.2014.6710072 fatcat:hep3v5iv2vafdpo5p2gz5rpd5i

Automated Lane Detection in Crowds using Proximity Graphs [article]

Stijn Heldens, Claudio Martella, Nelly Litvak, Maarten van Steen
2017 arXiv   pre-print
as a proximity graph.  ...  We see our work as an initial step towards rich pattern recognition using proximity graphs.  ...  A proximity graphs characterizes the texture of a crowd and describes how individuals navigate through the space.  ... 
arXiv:1707.01698v1 fatcat:5crdes7vfnalzjadwu7437hma4

Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait

Daisuke Sugimura, Kris M Kitani, Takahiro Okabe, Yoichi Sato, Akihiro Sugimoto
2009 2009 IEEE 12th International Conference on Computer Vision  
In this way, we incorporate the temporal consistency of local patch appearance to differentiate trajectories of multiple people moving in close proximity.  ...  In this work, we propose a method for tracking individuals in crowds.  ...  Figure 1 . 1 An example of a crowded scene. Figure 2 . 2 Graph clustering: (a) The initial graph is constructed by using the set of feature trajectories in the time window τ .  ... 
doi:10.1109/iccv.2009.5459286 dblp:conf/iccv/SugimuraKOSS09 fatcat:xwvgiuwe2zbszlmvlkra5yfmoq

3D Reconstruction of Dynamic Textures in Crowd Sourced Data [chapter]

Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
2014 Lecture Notes in Computer Science  
Experiments on crowd sourced image and video datasets illustrate the effectiveness of our automated data-driven approach.  ...  The developed system not only enables more complete and robust 3D modeling, but it also enables more realistic visualizations through the identification of dynamic scene elements amenable to dynamic texture  ...  densify the camera graph.  ... 
doi:10.1007/978-3-319-10590-1_10 fatcat:47bij3ix5rb43eirwwllproade

Video-Based Crowd Synthesis

M. Flagg, J. M. Rehg
2013 IEEE Transactions on Visualization and Computer Graphics  
Example-based synthesis methods such as video textures are an appealing alternative to conventional model-based methods, but current techniques are unable to represent and satisfy constraints between video  ...  The approach consists of representing crowd tube samples and constraint violations with a conflict graph. The maximal independent set yields a dense constraint-satisyfing crowd composition.  ...  Matthew Flagg did this work as a PhD student, and he is now CTO of PlayVision Labs, Inc.  ... 
doi:10.1109/tvcg.2012.317 pmid:24029912 fatcat:lljqbrdgajhsvhsv5x6z4o442a

Gaze Behaviors for Virtual Crowd Characters [chapter]

Helena Grillon, Barbara Yersin, Jonathan Maïm, Daniel Thalmann
2009 Lecture Notes in Computer Science  
Nowadays, crowds of virtual characters are used in many domains such as neurosciences, psychology, and computer sciences.  ...  This becomes even more challenging when considering crowds of virtual characters.  ...  Characters will perform the gaze behavior in proximity of these elements and as long as they are in their field of view.  ... 
doi:10.1007/978-3-642-03320-9_20 fatcat:dpqzl345hbhjragvmcw6opg6yi

Small Human Group Detection and Validation using Pyramidal Histogram of Oriented Gradients and Gray Level Run Length Method

2019 International Journal of Engineering and Advanced Technology  
This concern is focused by wide functions in several areas such as smart surveillance, multiple human interface, human pose characterization, person counting and person identification etc.  ...  and Pyramidal Histogram Of Oriented Gradients (PHOG) are employed to extract the features efficiently, Recurrent Neural Network (RNN) classifier helps to classify the features into human and group in a crowd  ...  The method begins with the each individual as separate clusters and merges two clusters to construct small human group gradually by strong inter-group proximity.  ... 
doi:10.35940/ijeat.a2252.129219 fatcat:3gt6mgrtj5hqfdd6paqliunpri

Trajectories of cell-cycle progression from fixed cell populations

Gabriele Gut, Michelle D Tadmor, Dana Pe'er, Lucas Pelkmans, Prisca Liberali
2015 Nature Methods  
DAPI intensity, integrated nuclear PCNA intensity, nuclear PCNA texture feature #5, nuclear PCNA texture feature #12 and nuclear area corrected for local cell crowding.  ...  M cells are then identified as the cluster with the highest mean of EdU texture feature #5.  ... 
doi:10.1038/nmeth.3545 pmid:26301842 pmcid:PMC6004611 fatcat:v4ia7n5rqbb2bhbp5wfczewq7e

Video anomaly detection based on wake motion descriptors and perspective grids

Roberto Leyva, Victor Sanchez, Chang–tsun Li
2014 2014 IEEE International Workshop on Information Forensics and Security (WIFS)  
scenes mainly because it is challenging to track individuals as the crowd density increases, or to track the whole crowd as a single object [16] .  ...  We consider this aspect in the graph formation criterion, as explained in the next section. C. Graph formation Small space-time regions can be represented as a set of connected graphs [9] .  ... 
doi:10.1109/wifs.2014.7084329 dblp:conf/wifs/LeyvaSL14 fatcat:efaib7gcefcp7jtoqrlzoe2ooi

Instrumental Texture Differentiation of Channel (Ictalurus punctatus) and Hybrid (Channel × Blue, Ictalurus furcatus) Catfish Fillets

John M. Bland, Ryan Ardoin, Carissa H. Li, Peter J. Bechtel
2022 Foods  
Texture was measured at eight positions per fillet by a texture profile analysis (TPA) method that provided seven texture attributes: firmness, toughness, cohesiveness, adhesiveness, chewiness, resilience  ...  An analysis of instrumental texture differences between channel (Ictalurus punctatus) and hybrid (female channel × male blue, I. furcatus) catfish fillets is presented.  ...  Proximate Analysis Proximate analysis was performed on the frozen fillet samples.  ... 
doi:10.3390/foods11131875 pmid:35804693 pmcid:PMC9265479 fatcat:xvkxvzg46zad5ckfqehtpg272u

Distribution Based Crowd Abnormality Detection

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Since, various regions normally display the various types of motion pattern, we introduce Distribution Based Crowd Abnormality Detection (DCAD) which catches the statistics of object trajectories which  ...  the textures.  ...  of Spatio-temporal-attention and also modeling the semantic graph.  ... 
doi:10.35940/ijitee.a3977.119119 fatcat:5zyxrjgo2vcg5pqx3p7lvvbdeu

Unsupervised dense crowd detection by multiscale texture analysis

Antoine Fagette, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour
2014 Pattern Recognition Letters  
Our method is based on the assumption 11 that a crowd is visually identified by a type of texture characterized by great 12 variations of the color vectors as well as of the orientations of the borders  ...  This is due to the fact that they have 369 the same texture as background objects.  ... 
doi:10.1016/j.patrec.2013.09.020 fatcat:dmktkz6dljg7dobeuontmwvs6q

Analysis of Attention Identification and Recognition of Faces through Segmentation and Relative Visual Saliency (SRVS)

Ravi Kant Kumar, Jogendra Garain, Goutam Sanyal, Dakshina Ranjan Kisku
2015 Procedia Computer Science  
Attentiveness, identification and recognition of a human face in a crowd play a starring role in the perspective of visual surveillance.  ...  It is biased towards some faces in the crowd due to their higher relative visual saliency and segment wise perception with respect to the surroundings faces.  ...  This paper adopts a graph based model 23 , in which both 'feature difference' and 'positional proximity' is considered for computing saliency.  ... 
doi:10.1016/j.procs.2015.06.089 fatcat:5bmelwqf75h6vpprfnl4h4662m

Surface distance maps

Avneesh Sud, Naga Govindaraju, Russell Gayle, Erik Andersen, Dinesh Manocha
2007 Graphics Interface  
Each human agent is represented as a cylinder and colored based on its goal. (right) The nearest neighbor map of the obstacles and agents is computed using surface distance maps.  ...  We use surface distance maps for path planning and proximity query computation among complex models in dynamic environments.  ...  The 2D texture map is used as a discrete sampling of the mesh for distance map computation. As a result, the resolution of distance map is limited by the size of the texture memory.  ... 
doi:10.1145/1268517.1268525 dblp:conf/graphicsinterface/SudGGAM07 fatcat:izuguxuqh5dwpeocvnexhprq3u

A Literature Review on Video Analytics of Crowded Scenes [chapter]

Myo Thida, Yoke Leng Yong, Pau Climent-Pérez, How-lung Eng, Paolo Remagnino
2013 Intelligent Multimedia Surveillance  
The rationale of our review is justified by a recent increase in intelligent video surveillance algorithms capable of analysing automatically visual streams of very crowded and cluttered scenes, such as  ...  This chapter presents a review and systematic comparison of the state of the art on crowd video analysis.  ...  In crowded scenarios, the behaviour of each individual target is influenced by the proximity and behaviour of other targets in the crowd.  ... 
doi:10.1007/978-3-642-41512-8_2 fatcat:m45yawffhzgypcn6nsjicrvhkm
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